276 search results - page 6 / 56 » PAC-Learning of Markov Models with Hidden State |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
The infinite hidden Markov model is a nonparametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov...
NIPS
2001
13 years 8 months ago
2001
We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the theory of Dirichlet processes we can implicitly integ...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
A canonical model is proposed for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections ...
CSL
2011
Springer
13 years 2 months ago
2011
Springer
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gauss...